Paper Citation Record · LEDGER

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module

As of 14 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2608.07781.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2608.07781 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:19:50.189363Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:19:50.017749Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-11T04:19:50.396364Z

Reference resolution

34 of 34 outbound references displayed

verified exact1
verified fuzzy26
unresolved6
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7544e4ee-9b86-4912-997e-d5fc0b2c8000 · outbound

This paper cites Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-11T04:19:50.402240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a06159b6-a215-449c-aaf1-7a4ed8693e91 · outbound

This paper cites an unresolved cited work.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:19:50.814209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8519d854-167c-4fd6-b583-ceec32298a9e · outbound

This paper cites Models and datasets We evaluate our approach using three state-of-the-art SE models, including CMGAN [1], SEMamba [2], and SGMSE [3].

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module Models and datasets We evaluate our approach using three state-of-the-art SE models, including CMGAN [1], SEMamba [2], and SGMSE [3]

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:19:50.799897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 561591ae-a82c-49be-878b-05b05c6a6d2d · outbound

This paper cites an unresolved cited work.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module Unresolved cited work

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T04:19:50.380321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 044d4c24-788f-4925-adc1-32127826ba25 · outbound

This paper cites an unresolved cited work.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:19:50.785193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation aa372b5d-2d46-4bef-9821-ea11218e5630 · outbound

This paper cites CM- GAN: Conformer-based metric GAN for speech en- hancement,.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module CM- GAN: Conformer-based metric GAN for speech en- hancement,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:19:50.769272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 105a3186-49ad-4bbb-89ca-ca25471039a3 · outbound

This paper cites An investigation of incorporating mamba for speech enhancement,.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module An investigation of incorporating mamba for speech enhancement,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:19:50.755267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a77a55d3-ca76-4df4-8a66-7b6d362b96ed · outbound

This paper cites Speech enhance- ment and dereverberation with diffusion-based genera- tive models,.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module Speech enhance- ment and dereverberation with diffusion-based genera- tive models,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:19:50.740274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0b8d9dbd-af7e-4fba-8199-aa8477453249 · outbound

This paper cites Dense CNN with self-attention for time-domain speech enhance- ment,.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module Dense CNN with self-attention for time-domain speech enhance- ment,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:19:50.725720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 50fab886-ee89-4f47-a5f7-e54bb5967272 · outbound

This paper cites MP-SENet: A speech enhancement model with parallel denoising of magnitude and phase spectra,.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module MP-SENet: A speech enhancement model with parallel denoising of magnitude and phase spectra,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:19:50.711405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 87aa3906-4c35-43b7-b658-95dd8e3b6d91 · outbound

This paper cites How bad are artifacts?: Analyzing the im- pact of speech enhancement errors on ASR,.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module How bad are artifacts?: Analyzing the im- pact of speech enhancement errors on ASR,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:19:50.696363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6554cba5-3cec-4f02-a226-fabb3ba353f0 · outbound

This paper cites Noise robust speech emotion recognition with signal-to-noise ratio adapting speech enhancement.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module Noise robust speech emotion recognition with signal-to-noise ratio adapting speech enhancement

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T04:19:50.078085Z

Source-reported events for the cited work

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Observation 8b4dd591-cf5a-4a2e-aa7e-71f09c8399b5 · outbound

This paper cites Perceptual evaluation of speech quality (pesq)-a new method for speech quality assessment of telephone networks and codecs,.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module Perceptual evaluation of speech quality (pesq)-a new method for speech quality assessment of telephone networks and codecs,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:19:50.681264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 03f52b11-1133-4ff1-ba62-30102636140a · outbound

This paper cites An algorithm for intelligibility prediction of time- frequency weighted noisy speech,.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module An algorithm for intelligibility prediction of time- frequency weighted noisy speech,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:19:50.667351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation aacd0dfa-1c92-473b-ab83-1ccb1f52ff22 · outbound

This paper cites MetricGAN- OKD: Multi-metric optimization of MetricGAN via on- line knowledge distillation for speech enhancement,.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module MetricGAN- OKD: Multi-metric optimization of MetricGAN via on- line knowledge distillation for speech enhancement,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:19:50.653079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ca57e929-47ee-4270-9cd4-48149f27c87f · outbound

This paper cites Multi-CMGAN+/+: Leveraging multi- objective speech quality metric prediction for speech en- hancement,.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module Multi-CMGAN+/+: Leveraging multi- objective speech quality metric prediction for speech en- hancement,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:19:50.638037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bfcefa03-2d9d-47cc-9b0e-7497239c41d5 · outbound

This paper cites Reflexion: Lan- guage agents with verbal reinforcement learning,.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module Reflexion: Lan- guage agents with verbal reinforcement learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:19:50.623613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 15a0af30-bb39-46fe-bba8-a128290cd8f9 · outbound

This paper cites Self- refine: Iterative refinement with self-feedback,.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module Self- refine: Iterative refinement with self-feedback,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:19:50.609530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 72395767-25f9-47d8-a01c-e4ad53c77a69 · outbound

This paper cites Phone- to-audio alignment without text: A semi-supervised ap- proach,.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module Phone- to-audio alignment without text: A semi-supervised ap- proach,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:19:50.595262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9f00ccd3-3655-4496-866d-dc51c307cbdc · outbound

This paper cites Robust speech recognition via large-scale weak supervision,.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module Robust speech recognition via large-scale weak supervision,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:19:50.579935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 96ffd615-af9a-4641-bd2f-ac07eb590991 · outbound

This paper cites Computing and visualizing dynamic time warping alignments in r: The dtw package,.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module Computing and visualizing dynamic time warping alignments in r: The dtw package,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:19:50.565815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f954e15a-6db9-4351-a8d2-3aa8c453b940 · outbound

This paper cites SCOREQ: Speech quality assessment with contrastive regression,.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module SCOREQ: Speech quality assessment with contrastive regression,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:19:50.551540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f86d2253-bfec-486a-9bd0-e79fe461bf60 · outbound

This paper cites URGENT challenge: Universal- ity, robustness, and generalizability for speech enhance- ment,.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module URGENT challenge: Universal- ity, robustness, and generalizability for speech enhance- ment,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:19:50.537327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5bc96903-6ed2-4ba7-8e79-ae2521895c2d · outbound

This paper cites Interspeech 2025 URGENT speech enhancement challenge,.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module Interspeech 2025 URGENT speech enhancement challenge,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:19:50.522975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation be8613de-b431-44b0-834f-e2b4ca45f36c · outbound

This paper cites Investigating RNN- based speech enhancement methods for noise-robust Text-to-Speech,.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module Investigating RNN- based speech enhancement methods for noise-robust Text-to-Speech,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:19:50.509008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 107088f0-fe3c-4bff-9b87-f1631fa06eb1 · outbound

This paper cites Building naturalistic emotionally balanced speech corpus by retrieving emo- tional speech from existing podcast recordings,.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module Building naturalistic emotionally balanced speech corpus by retrieving emo- tional speech from existing podcast recordings,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:19:50.493654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7c3164c6-83a8-4031-86a1-d81f3b8ec143 · outbound

This paper cites Audio set: An on- tology and human-labeled dataset for audio events,.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module Audio set: An on- tology and human-labeled dataset for audio events,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:19:50.479010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d62a3996-0085-46dd-9501-90578887c36a · outbound

This paper cites Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T04:19:50.161214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7be21fee-aa1a-446c-8581-21017f265219 · outbound

This paper cites SpeakerNet: 1D Depth-wise Separable Convolutional Network for Text-Independent Speaker Recognition and Verification.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module SpeakerNet: 1D Depth-wise Separable Convolutional Network for Text-Independent Speaker Recognition and Verification

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T04:19:50.166119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce3255ed-1eff-409a-b6d8-6071d920cd6e · outbound

This paper cites V ocal acoustic analysis–jitter, shimmer and hnr param- eters,.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module V ocal acoustic analysis–jitter, shimmer and hnr param- eters,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:19:50.463697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation eb9e2e51-37e2-4b0c-91af-255849f0f080 · outbound

This paper cites The psychologist as an interlocutor in autism spectrum disorder assessment: Insights from a study of spontaneous prosody,.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module The psychologist as an interlocutor in autism spectrum disorder assessment: Insights from a study of spontaneous prosody,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:19:50.448045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 28aaa547-70c5-418f-a1e6-821da583a076 · outbound

This paper cites In- troducing Parselmouth: A Python interface to Praat,.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module In- troducing Parselmouth: A Python interface to Praat,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:19:50.433060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 121c7bf9-7e5c-4917-af5a-a57c4bf180c9 · outbound

This paper cites Too Good to Be True: A Study on Modern Automatic Speech Recognition for the Evaluation of Speech Enhancement.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module Too Good to Be True: A Study on Modern Automatic Speech Recognition for the Evaluation of Speech Enhancement

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T04:19:50.184852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f60b7c8-b8d7-4b26-af54-c5c83624ca51 · outbound

This paper cites InQSS: a speech intelligi- bility and quality assessment model using a multi-task learning network,.

Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module InQSS: a speech intelligi- bility and quality assessment model using a multi-task learning network,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:19:50.417927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation 7544e4ee-9b86-4912-997e-d5fc0b2c8000 · inbound